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Seven predictions for artificial intelligence in 2023 from IT leaders
Seven predictions for artificial intelligence in 2023 from IT leaders
The potential impacts of AI are wide-ranging, as are related predictions, from sensing, to generative and responsible AI, to collaboration and automation. What will matter to IT leaders in 2023? We asked AI and IT career experts for their opinions.
Machine learning will help correct artificial intelligence bias. In conversational AI, systems that ‘know the customer’ by leveraging customer-specific information will also reduce bias.
This is just a starting point. Let’s dig into other key trends.
1. CTOs will be picky about the details of AI
CTOs need to provide healthcare providers with technology that improves services and processes. After all, healthcare providers want their doctors to focus on medical care, not technology. CTOs should not buy into AI because it is AI, or because it is the latest and greatest technology. Instead, CTOs should consider potential AI products. How does it work in their specific organization? How will it improve business processes? This is critical. Before, you could say, “We’re implementing AI or digital transformation,” and get a blank check, but that’s not going to be popular anymore. Organizations want to see results and need to be able to measure impact. CTOs can’t just make a big statement that AI is the future and get whatever budget they want. 2
2. Breakthrough impact of artificial intelligence technology
In the next few years, artificial intelligence will make huge breakthroughs in treating diseases. Just look at the 2021 Breakthrough Prize winner Dr. David Baker. Dr. Baker used artificial intelligence to design entirely new proteins. This breakthrough technology will continue to have a huge impact in the life sciences, with the potential to develop life-saving drugs for diseases such as Alzheimer's and Parkinson's disease.
The intersection from fundamental physics to informatics, under the guise of quantum and quantum computing. While I have no hope for practical quantum computers, we will see crossover. Perhaps one of the more interesting examples is Andy Brig's QuantrolOx, where artificial intelligence is used to tune quantum computers!
The combination of advanced mathematics and informatics will unleash a new generation of engineers who are using artificial intelligence to We are in a unique position in terms of the smart wave.
3. At the Crossroads of Artificial Intelligence and Human Intelligence
While AI will increasingly be adopted to improve our collective user experience at scale, it will not work with appropriate balanced by human intervention. The insights provided by humans applying AI will be a more effective combination than either alone. How and where this balance is achieved will depend on the industry and the importance of the function being performed. For example, radiologists assisted by artificial intelligence have a higher success rate in screening for breast cancer than when they work alone, according to a new study. The same AI also produces more accurate results in the hands of radiologists than when performed alone.
4. Responsible and generative AI capabilities are improving
We can expect to see some major AI trends in 2023, two of which are responsible Artificial intelligence and generative artificial intelligence. Responsible or ethical AI has been a hot topic for some time, but we’ll see it move from concept to practice over the next year. Smarter technologies and emerging legal frameworks around artificial intelligence are also steps in the right direction. For example, the Artificial Intelligence Act (AIAct) is a proposal to be the first European law aimed at managing the risks of artificial intelligence use cases. Similar to the GDPR on data usage, the AI Bill could become a baseline standard for responsible AI and is expected to become law next spring. This will have an impact on companies using AI globally.
The second is generative AI, which will also make significant progress in the next 12 months. Recent models make it easy to create realistic images and drawings from natural language descriptions. Features like this are now moving from being cool features to actual business use cases. Many companies offer products that can help you draft essays, advertising copy, or love letters. Instead of searching through stock photos, you can enter a query and get newly generated images. And this is just the beginning - people have only scratched the surface of generative voice and video applications, so it will be interesting to see innovations and use cases emerge in the coming year.
5. Stronger collaboration between business and IT teams
In 2023, as businesses prepare for greater economic volatility, it’s not just about doing more with less There will be greater pressure to demonstrate the commercial value of artificial intelligence from the beginning. While IT leaders recognize the benefits of AI in improved automation, insights and efficiency, AI still requires greater collaboration between business and IT to ensure the technology truly solves business problems and needs.
Another trend we’re already seeing is that entire organizations continue to fully embrace artificial intelligence. From data models to AI chips, a variety of software and hardware solutions are focused on grabbing a piece of the lucrative AI pie.
6. Artificial intelligence will change the efficiency and output of organizations
There has been discussion about whether artificial intelligence will have sentient capabilities and pose a threat to humans, which greatly overestimates the current capabilities of artificial intelligence . Artificial intelligence has accomplished many tasks that would take humans thousands of hours to accomplish: beating chess masters, identifying broken bones in X-rays, choosing the fastest route for a delivery truck, and more. But AI doesn’t “understand” how it accomplishes these tasks. It doesn't explain why one move is more strategic than another - it just knows. But AI solves a vast number of tasks inside and outside the workplace.
To get the most out of it, we need to understand why AI can do so much even if it lacks human-like intelligence. For example, in the legal industry, where lawyers are still billed in 6-minute increments, can AI do many of the tasks that humans do? I predict that allocating more tasks to AI will lead to incremental changes in team efficiency and output.
7. AI drives and supports automation
Everyone understands the value of automation, and in our software-defined world, almost everything can be automated. However, automated decision points or trigger points remain one of the trickier factors. This is where AI will increasingly come into play: rather than automating traditional ‘if this then that’ rules, AI can make smarter, less fragile decisions.
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